Videos

Name: Alberta Machine Intelligence Institute (Amii)
Address: 2nd Floor, 10065 Jasper Ave, Edmonton, Alberta, T5J 3B1, Canada

Oct 22, 2024
AI Seminar: Synergy of Graph Data Management & Machine Learning in Explainability & Query Answering, Arijit Khan
Sep 29, 2024
Toward a Better Deep Learning: Rich Sutton
Sep 27, 2024
Approximately Correct Podcast: Game Changer: Revolutionizing Video Game AI with Artificial Agency’s Andrew Butcher | Amii
Sep 27, 2024
Tea Time Talks 2024: Bounding-Box Inference for Error-Aware Model-Based RL - Erin Talvitie
Sep 27, 2024
Tea Time Talks 2024: Yiuqi Wang, Transformers Learn Temporal Difference Methods for In-Context RL
Sep 27, 2024
Tea Time Talks 2024: Mahshid Rahmani Hanzaki, Tile-coding for Count-based Exploration
Sep 27, 2024
Tea Time Talks 2024: Alireza Kazemipour, Optimism and Mon-MDPs
Sep 27, 2024
Tea Time Talks 2024: Aidan Bush, Multi-agent Deflection Routing with Bandits
Sep 27, 2024
Tea Time Talks 2024: Alex Lewandowski, Continual Learning, Scalability, and Linearity
Sep 27, 2024
Tea Time Talks 2024: Parham Panahi, Experience Selection in Deep RL
Sep 27, 2024
Tea Time Talks: Farzane Aminmansour, AProp: Decentralized Gradient-Based Learning Algorithm for DNNs
Sep 27, 2024
Tea Time Talks 2024: Shang Wang, Reinforcement Learning for Chip Design
Sep 16, 2024
AI Seminar Series 2024: Contrastive Decoding for Concepts in the Brain, Cory Efird
Sep 16, 2024
AI Seminar 2024: Improving Formula-Represented Heuristic Functions in Grid Pathfinding, Shuwei Wang
Sep 5, 2024
Innovating game design with AI! Meet Amii's Matthew Guzdial
Aug 27, 2024
Approximately Correct Podcast: AI-Powered Water Systems with Martha White
Aug 26, 2024
AI Seminar Series 2024: Safe and Explainable Autonomous Driving, Shahin Atakishiyev
Aug 26, 2024
AI Seminar: Maintaining Plasticity Through Selective Reinitialization, J. Fernando Hernandez Garcia
Aug 23, 2024
AI Seminar Series 2024: Offline RL Needs Less Data if you Have Trajectories, Vlad Tkachuk
Aug 2, 2024
Approximately Correct Podcast: Humans Make AI Better with Matt Taylor
Aug 2, 2024
AI Seminar Series 2024: Source Code Obfuscation - Evolutionary Algorithms, José Miguel Aragón Jurado
Aug 1, 2024
Meet the Researcher: Nidhi Hegde
Jul 11, 2024
AI Seminar 2024: Learning-augmented algorithms for online optimization and beyond, Nico Christianson
Jun 26, 2024
AI Seminar Series 2024: How to Specify Aligned Reinforcement Learning Objectives, Dr. Brad Knox

Videos

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Content Type

Video

AI Seminar: Synergy of Graph Data Management & Machine Learning in Explainability & Query Answering, Arijit Khan

Toward a Better Deep Learning: Rich Sutton

Approximately Correct Podcast: Game Changer: Revolutionizing Video Game AI with Artificial Agency’s Andrew Butcher | Amii

Tea Time Talks 2024: Bounding-Box Inference for Error-Aware Model-Based RL - Erin Talvitie

Tea Time Talks 2024: Yiuqi Wang, Transformers Learn Temporal Difference Methods for In-Context RL

Tea Time Talks 2024: Mahshid Rahmani Hanzaki, Tile-coding for Count-based Exploration

Tea Time Talks 2024: Alireza Kazemipour, Optimism and Mon-MDPs

Tea Time Talks 2024: Aidan Bush, Multi-agent Deflection Routing with Bandits

Tea Time Talks 2024: Alex Lewandowski, Continual Learning, Scalability, and Linearity

Tea Time Talks 2024: Parham Panahi, Experience Selection in Deep RL

Tea Time Talks: Farzane Aminmansour, AProp: Decentralized Gradient-Based Learning Algorithm for DNNs

Tea Time Talks 2024: Shang Wang, Reinforcement Learning for Chip Design

AI Seminar Series 2024: Contrastive Decoding for Concepts in the Brain, Cory Efird

AI Seminar 2024: Improving Formula-Represented Heuristic Functions in Grid Pathfinding, Shuwei Wang

Innovating game design with AI! Meet Amii's Matthew Guzdial

Approximately Correct Podcast: AI-Powered Water Systems with Martha White

AI Seminar Series 2024: Safe and Explainable Autonomous Driving, Shahin Atakishiyev

AI Seminar: Maintaining Plasticity Through Selective Reinitialization, J. Fernando Hernandez Garcia

AI Seminar Series 2024: Offline RL Needs Less Data if you Have Trajectories, Vlad Tkachuk

Approximately Correct Podcast: Humans Make AI Better with Matt Taylor

AI Seminar Series 2024: Source Code Obfuscation - Evolutionary Algorithms, José Miguel Aragón Jurado

Meet the Researcher: Nidhi Hegde

AI Seminar 2024: Learning-augmented algorithms for online optimization and beyond, Nico Christianson

AI Seminar Series 2024: How to Specify Aligned Reinforcement Learning Objectives, Dr. Brad Knox

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AI Seminar: Synergy of Graph Data Management & Machine Learning in Explainability & Query Answering, Arijit Khan

Toward a Better Deep Learning: Rich Sutton

Approximately Correct Podcast: Game Changer: Revolutionizing Video Game AI with Artificial Agency’s Andrew Butcher | Amii

Tea Time Talks 2024: Bounding-Box Inference for Error-Aware Model-Based RL - Erin Talvitie

Tea Time Talks 2024: Yiuqi Wang, Transformers Learn Temporal Difference Methods for In-Context RL

Tea Time Talks 2024: Mahshid Rahmani Hanzaki, Tile-coding for Count-based Exploration

Tea Time Talks 2024: Alireza Kazemipour, Optimism and Mon-MDPs

Tea Time Talks 2024: Aidan Bush, Multi-agent Deflection Routing with Bandits

Tea Time Talks 2024: Alex Lewandowski, Continual Learning, Scalability, and Linearity

Tea Time Talks 2024: Parham Panahi, Experience Selection in Deep RL

Tea Time Talks: Farzane Aminmansour, AProp: Decentralized Gradient-Based Learning Algorithm for DNNs

Tea Time Talks 2024: Shang Wang, Reinforcement Learning for Chip Design

AI Seminar Series 2024: Contrastive Decoding for Concepts in the Brain, Cory Efird

AI Seminar 2024: Improving Formula-Represented Heuristic Functions in Grid Pathfinding, Shuwei Wang

Innovating game design with AI! Meet Amii's Matthew Guzdial

Approximately Correct Podcast: AI-Powered Water Systems with Martha White

AI Seminar Series 2024: Safe and Explainable Autonomous Driving, Shahin Atakishiyev

AI Seminar: Maintaining Plasticity Through Selective Reinitialization, J. Fernando Hernandez Garcia

AI Seminar Series 2024: Offline RL Needs Less Data if you Have Trajectories, Vlad Tkachuk

Approximately Correct Podcast: Humans Make AI Better with Matt Taylor

AI Seminar Series 2024: Source Code Obfuscation - Evolutionary Algorithms, José Miguel Aragón Jurado

Meet the Researcher: Nidhi Hegde

AI Seminar 2024: Learning-augmented algorithms for online optimization and beyond, Nico Christianson

AI Seminar Series 2024: How to Specify Aligned Reinforcement Learning Objectives, Dr. Brad Knox

Stay in the loop.

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